Literature DB >> 24361496

Harvest timing and its population dynamic consequences in a discrete single-species model.

Begoña Cid1, Frank M Hilker2, Eduardo Liz3.   

Abstract

The timing of harvesting is a key instrument in managing and exploiting biological populations and renewable resources. Yet, there is little theory on harvest timing, and even less is known about the impact of different harvest times on the stability of population dynamics, even though this may drive population variability and risk of extinction. Here, we employ the framework proposed by Seno to study how harvesting at specific moments in the reproductive season affects not only population size but also stability. For populations with overcompensation, intermediate harvest times tend to be stabilizing (by simplifying dynamics in the case of unimodal maps and by preventing bubbling in the case of bimodal maps). For populations with a strong Allee effect, however, intermediate harvest times can have a twofold effect. On the one hand, they facilitate population persistence (if harvesting effort is low). On the other hand, they provoke population extinction (if harvesting effort is high). Early harvesting, currently considered common sense to take advantage of compensatory effects, may cut into the breeding stock when the population has not yet surpassed the critical Allee threshold. The results in this paper highlight, for the first time, the crucial interplay between harvest timing and Allee effects. Moreover, they demonstrate that harvesting with the same effort but at different moments in time can dramatically alter the impact on the population.
Copyright © 2013 Elsevier Inc. All rights reserved.

Keywords:  Allee effect; Bubbling; Constant effort harvesting; Discrete population model; Ricker map; Stability

Mesh:

Year:  2013        PMID: 24361496     DOI: 10.1016/j.mbs.2013.12.003

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  4 in total

1.  Proportional threshold harvesting in discrete-time population models.

Authors:  Frank M Hilker; Eduardo Liz
Journal:  J Math Biol       Date:  2019-09-03       Impact factor: 2.259

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Authors:  Eduardo Liz; Alfonso Ruiz-Herrera
Journal:  PLoS One       Date:  2016-05-12       Impact factor: 3.240

3.  Population control methods in stochastic extinction and outbreak scenarios.

Authors:  Juan Segura; Frank M Hilker; Daniel Franco
Journal:  PLoS One       Date:  2017-02-02       Impact factor: 3.240

4.  A general model of hormesis in biological systems and its application to pest management.

Authors:  Sanyi Tang; Juhua Liang; Changcheng Xiang; Yanni Xiao; Xia Wang; Jianhong Wu; Guoping Li; Robert A Cheke
Journal:  J R Soc Interface       Date:  2019-08-21       Impact factor: 4.118

  4 in total

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